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. 2022 Jun 7;23:217. doi: 10.1186/s12859-022-04761-4

Table 2.

Optimal results of Models 1–3 on the validation set

Model name Construction method Optimal algorithm Number of optimal feature Negative training n sample Positive training n sample Negative validation sample Positive validation sample Validation accuracy ValidationF1 score
Model1 Proportional division GBDT 9 175,496 10,756 43,873 2690 0.96 0.78
Model2 Upsampling RF 3 175,395 172,209 43,974 42,927 0.99 0.99
Model3 Downsampling GBDT 24 10,784 10,729 2662 2717 0.84 0.84